Proteomic Profiling as a Diagnostic Biomarker for Discriminating Between Bipolar and Unipolar Depression
Datos Bibliográficos
| ID | 15527897 |
|---|---|
| Autores | Sarah Kittel‐Schneider (0000-0003-3057-6150, Goethe University Frankfurt), Sarah Kittel-Schneider, Tim Hahn (0000-0001-6541-3795, University of Münster), F Haenisch (0000-0001-7961-4467, University of Cambridge), Rhiannon V McNeill (0000-0002-3297-9212, Universitätsklinikum Würzburg), Rhiannon McNeill, Andreas Reif (0000-0002-0992-634X, Goethe University Frankfurt, autor de correspondencia), Sabine Bahn (0000-0003-4690-6302, University of Cambridge) |
| Año | 2020 |
| Volumen | 11 |
| Páginas | 189-189 |
| Fecha de publicación | 2020-04-17 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Frontiers in Psychiatry (JOURNAL) |
| Identificadores de la revista | ISSN: 1664-0640 • E-ISSN: 1664-0640 |
| Editorial | Frontiers Media (PUBLISHER • CH) |
| DOI | 10.3389/fpsyt.2020.00189 |
| PMID | 32372978 |
| OpenAlex | W3019184100 |
| Idioma | EN |
| Referencias citadas | 41 |
The results of this preliminary study suggest that future discrimination between bipolar and unipolar depression in a single case could be possible, using predictive biomarker models based on blood proteomic profiling
Biology · Biomarker · Biomarker discovery · Bipolar disorder · Computational biology · Depression (economics · Mood · Profiling (computer programming · Proteomics · Psychiatry · Bipolar Disorder and Treatment · Clinical Psychology · Computer Science · Electroconvulsive Therapy Studies · Medicine · Psychology · Tryptophan and brain disorders · Genetics
| Velocidad de citación | historical |
|---|---|
| Altamente citado | No |